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When it comes to analyzing data, pulling the information from a data mart as opposed to a data warehouse or external data sources can save companies time and produce more targeted results.
The idea of data marts isn’t a new concept — they’ve been around for at least a decade — and traditionally these data marts have been built inside a company, acting as a bridge between data warehouses and analysts. But as organizations collect more and more data, being able to access smaller data sets to pull out insights becomes more important, and it’s time to start looking at how data marts can be better utilized, and, importantly, what the next generation of data marts can bring.
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Founded by the creators of Apache Kylin, Kyligence Cloud provides an intelligent analytics performance layer that sits between data sources and BI tools. Kyligence features an AI-Augmented learning engine to ensure peak performance and vastly simplified data modeling. The result is the sub-second query response time for BI, SQL, OLAP, and Excel users even against petabytes of data.
Kyligence is headquartered in San Jose, CA. Investors include Redpoint Ventures, Cisco, China Broadband Capital, Shunwei Capital, Eight Roads Ventures (the proprietary investment arm of Fidelity International Limited), and Coatue Management. Kyligence serves a global customer base that includes UBS, Costa, Appzen, McDonald’s, YUM, L’OREAL, Porsche, Xactly, China Merchants Bank, and China Construction Bank.
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How should your organization respond to changing data management requirements? Upside spoke to Luke Han, cofounder and CEO of Kyligence, to discuss today's trends and best practices.
Kylin 4 upgrades the Kylin architecture to make it easy to deploy and scale in the cloud. The new release features three major platform updates and myriad other improvements.
Kyligence ranked one of the fastest-growing companies in North America on the 2021 Deloitte Technology Fast 500™, attributing revenue growth to adoption of Intelligent Data Cloud Platform.
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